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Assessing the Efficiency of Mother-to-Child HIV Prevention in Low- and Middle-Income Countries using Data Envelopment Analysis

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  • Sérgio P. Santos

    ()
    (Faculty of Economics, University of Algarve and CEFAGE-UE)

  • Carla A.E. Amado

    ()
    (Faculty of Economics, University of Algarve and CEFAGE-UE)

  • Mauro F. Santos

    (CASEE, University of Algarve)

Abstract

AIDS is one of the most significant health care problems worldwide. Due to the difficulty and costs involved in treating HIV, preventing infection is of paramount importance in controlling the AIDS epidemic. The main purpose of this paper is to explore the potential of using Data Envelopment Analysis (DEA) to establish international comparisons on the efficiency implementation of HIV prevention programmes. To this effect we use data from 52 low- and middle-income countries regarding the prevention of mother-to-child transmission of HIV. Our results indicate that there is a remarkable variation in efficiency of prevention services across nations, suggesting that a better use of resources could lead to more and improved services, and ultimately, prevent the infection of thousands of children. These results also demonstrate the potential strategic role of DEA for the efficient and effective planning of scarce resources to fight the epidemic.

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Bibliographic Info

Paper provided by University of Evora, CEFAGE-UE (Portugal) in its series CEFAGE-UE Working Papers with number 2012_02.

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Length: 27 pages
Date of creation: 2012
Date of revision:
Handle: RePEc:cfe:wpcefa:2012_02

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Web page: http://www.cefage.uevora.pt
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Keywords: HIV Prevention; DEA; Mother-to-Child HIV Transmission.;

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  1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, Elsevier, vol. 2(6), pages 429-444, November.
  2. Sarrico, C. S. & Dyson, R. G., 2004. "Restricting virtual weights in data envelopment analysis," European Journal of Operational Research, Elsevier, Elsevier, vol. 159(1), pages 17-34, November.
  3. Cooper, William W. & Ruiz, Jose L. & Sirvent, Inmaculada, 2007. "Choosing weights from alternative optimal solutions of dual multiplier models in DEA," European Journal of Operational Research, Elsevier, Elsevier, vol. 180(1), pages 443-458, July.
  4. Royston, Geoff, 1998. "Shifting the balance of health care into the 21st century," European Journal of Operational Research, Elsevier, Elsevier, vol. 105(2), pages 267-276, March.
  5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, INFORMS, vol. 30(9), pages 1078-1092, September.
  6. Zanakis, Stelios H. & Alvarez, Cecilia & Li, Vivian, 2007. "Socio-economic determinants of HIV/AIDS pandemic and nations efficiencies," European Journal of Operational Research, Elsevier, Elsevier, vol. 176(3), pages 1811-1838, February.
  7. James Langabeer & Yasar Ozcan, 2009. "The economics of cancer care: longitudinal changes in provider efficiency," Health Care Management Science, Springer, Springer, vol. 12(2), pages 192-200, June.
  8. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, Taylor & Francis Journals, vol. 10(11), pages 733-735.
  9. Bruce Hollingsworth & P.J. Dawson & N. Maniadakis, 1999. "Efficiency measurement of health care: a review of non‐parametric methods and applications," Health Care Management Science, Springer, Springer, vol. 2(3), pages 161-172, July.
  10. Bruce Hollingsworth, 2008. "The measurement of efficiency and productivity of health care delivery," Health Economics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 17(10), pages 1107-1128.
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